Application of Improved Template Matching Algorithm in Target Image Detection
Guoquan Ren, Wentao Jiang, Dongwei Li, Guozhang Li
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.104How to use a DOI?
- Target Detection, Template Matching, Normalized Correlation, Optimal Searching Step-time
- In view of the disadvantage of the current method for target detection that poor efficiency and poor real-time, a novel method of target detection based on digital image processing technology was proposed. The traditional normalized correlation template matching algorithm was improved via setting optimal searching step-time in that method, which can greatly reduce the amount of computation and enhance the matching speed. The experimental results show that the proposed algorithm has high accuracy and high speed, and it can be applied in target image detection effectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guoquan Ren AU - Wentao Jiang AU - Dongwei Li AU - Guozhang Li PY - 2016/03 DA - 2016/03 TI - Application of Improved Template Matching Algorithm in Target Image Detection BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 518 EP - 522 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.104 DO - https://doi.org/10.2991/icmmct-16.2016.104 ID - Ren2016/03 ER -